public void InitWeights(IParameterizedLayer wLayer)
{
float[] data = new float[wLayer.ParametersStorage.Weights.Size];
for (int i = 0; i < wLayer.ParametersStorage.Weights.Size; i++)
{
data[i] = (float)RandomUtil.GetGaussian(_mean, _deviation);
}
wLayer.ParametersStorage.Weights.Storage.Data = data;
}
public void InitWeights(IParameterizedLayer wLayer)
{
float[] data = new float[wLayer.ParametersStorage.Weights.Size];
for (int i = 0; i < wLayer.ParametersStorage.Weights.Size; i++)
{
wLayer.ParametersStorage.Weights[i] = (float)RandomUtil.GetRandomNumber(_minValue, _maxValue);
}
wLayer.ParametersStorage.Weights.Storage.Data = data;
}
public void InitWeights(IParameterizedLayer wLayer)
{
float[] data = new float[wLayer.ParametersStorage.Weights.Size];
for (int i = 0; i < data.Length; i++)
{
data[i] = (float)_value;
}
wLayer.ParametersStorage.Weights.Storage.Data = data;
}
public void InitWeights(IParameterizedLayer wLayer)
{
var variance = 2.0 / wLayer.FIn;
float[] data = new float[wLayer.ParametersStorage.Weights.Size];
for (int i = 0; i < wLayer.ParametersStorage.Weights.Size; i++)
{
data[i] = (float)RandomUtil.GetGaussian(0, Math.Sqrt(variance));
}
wLayer.ParametersStorage.Weights.Storage.Data = data;
}
